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Master Data Analyst Jobs in Colorado (NOW HIRING)

Ball

Senior Manager, Data Management

Westminster, CO · On-site

Data Governance COE: * Define and operate the enterprise data stewardship and ownership model ... Analytics, Computer Science, Business Administration, or related field preferred. * Master's degree ...

Woodward

Data Governance Lead

Fort Collins, CO

$95K - $123K/yr

Support governance of master data domains including Business Partner, Material, and Finance data ... Analytical mindset with attention to detail and problem-solving ability * Familiarity with ...

Woodward, Inc.

Data Governance Lead

Fort Collins, CO · On-site

$95K - $123K/yr

Support governance of master data domains including Business Partner, Material, and Finance data ... Analytical mindset with attention to detail and problem-solving ability * Familiarity with ...

Woodward, Inc.

Data Governance Lead

Fort Collins, CO · On-site

$95K - $123K/yr

Support governance of master data domains including Business Partner, Material, and Finance data ... Analytical mindset with attention to detail and problem-solving ability * Familiarity with ...

Century Group

Data Entry

Colorado Springs, CO · On-site

$23 - $28/hr

Research data discrepancies and provide root cause analysis. * Learn the ERP system and understand its relationship to all operations. * Extract Master Data as requested by other departments

Pwc

Data Strategy-Manager

Denver, CO · On-site

$99K - $232K/yr

... Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data ...

Pwc

Data Governance- Manager

Denver, CO · On-site

$99K - $232K/yr

... Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

flowcontrol

Financial Analyst

Charlotte, NC · On-site

Support master data management processes, including the chart of accounts, vendor/customer ... Strong analytical, organizational, and problem-solving abilities * Ability to manage large datasets ...

Flow Control Group

Financial Analyst

Denver, CO · On-site

Analyze financial performance, variances, trends, and operational drivers * Ensure accuracy and ... Support master data management processes, including the chart of accounts, vendor/customer ...

Particle Measuring Systems

Data Architect

Niwot, CO · Hybrid

$120K - $160K/yr

Title Data Architect Department ERP Implementation Project Location Niwot (Hybrid eligible) Reports ... Excellent analytical, communication, and leadership skills Preferred Qualifications * Master ...

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All JobsMaster Data Analyst JobsMaster Data Analyst Jobs in Colorado

Master Data Analyst information

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$20

$46

$80

How much do master data analyst jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for master data analyst in Colorado is $46.63, according to ZipRecruiter salary data. Most workers in this role earn between $32.12 and $58.12 per hour, depending on experience, location, and employer.

What are Master Data Analysts?

Master Data Analysts are professionals responsible for managing and maintaining an organization's critical business data, often referred to as 'master data.' This includes key information about customers, products, suppliers, and other core business entities. Their work ensures that data is accurate, consistent, and accessible across different departments and systems. Master Data Analysts also help establish data governance standards, support data integration projects, and troubleshoot data quality issues to support business operations and decision-making.

How does a Master Data Analyst typically collaborate with other departments to maintain data quality?

A Master Data Analyst regularly works with teams such as IT, finance, supply chain, and operations to ensure data consistency and integrity across systems. This collaboration often involves participating in cross-functional meetings, clarifying data requirements, and resolving discrepancies in master data. Effective communication and problem-solving skills are essential, as the analyst serves as a bridge between technical and business stakeholders to implement data governance policies and improve data processes.

What Does a Master Data Analyst Do?

A master data analyst monitors and examines master and key data within a company or organization. As a master data analyst, your job duties include developing databases to support business goals, implementing standards for collecting and storing data, and using data to gain key business insights. The career typically requires a bachelor’s degree in IT, data science, or a related field and work experience in data analysis or software programming. Additional qualifications include strong analytical and computer skills, as well as an understanding of database architecture.

Is a master's in data analysis worth it?

For a Master Data Analyst, obtaining a master's degree in data analysis can enhance technical skills, such as proficiency in SQL, Python, and data visualization tools, and may improve job prospects and salary potential. However, practical experience and certifications like Certified Analytics Professional (CAP) can also be valuable in this field. The decision depends on career goals and the specific requirements of employers in data analysis roles.

Is 40 too late for data science?

For a Master Data Analyst, age is not a barrier to entering data science. Many professionals successfully transition into data science roles later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through online courses or certifications. Experience and continuous learning are valued more than age in the data industry.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but a Master Data Analyst's role involves interpreting complex data, making strategic decisions, and communicating insights, which require human judgment and domain expertise. AI tools are valuable for enhancing efficiency but are unlikely to fully replace skilled analysts who provide critical context and nuanced analysis.

What are the key skills and qualifications needed to thrive as a Master Data Analyst, and why are they important?

To thrive as a Master Data Analyst, you need a strong background in data management, analytics, and a relevant degree such as computer science, information systems, or business. Familiarity with data management tools like SAP, Oracle, SQL, and experience with data governance frameworks or related certifications are typically required. Excellent attention to detail, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are critical for ensuring data accuracy, supporting business decisions, and maintaining consistent data standards across the organization.

What can I do with a master's in data analysis?

A master's in data analysis prepares individuals for roles such as Master Data Analyst, Data Scientist, or Business Intelligence Analyst, involving tasks like data cleaning, statistical analysis, and reporting. It often requires proficiency in tools like SQL, Python, or R and understanding of data management systems. Graduates can work in various industries including finance, healthcare, and technology, often in environments that emphasize data-driven decision making.

What is the difference between Master Data Analyst vs Data Analyst?

AspectMaster Data AnalystData Analyst
CredentialsBachelor's degree in data-related field; certifications like CDMP or DAMA often preferredBachelor's degree in statistics, mathematics, or related field; certifications are optional
Work EnvironmentFocus on managing and maintaining master data across departmentsAnalyze data sets to generate reports and insights for decision-making
Industry UsageCommon in organizations with complex data management needsWidespread across various industries for data analysis tasks

The main difference is that a Master Data Analyst specializes in managing and maintaining core organizational data, ensuring data quality and consistency. In contrast, a Data Analyst primarily focuses on analyzing data to support business decisions. Both roles require strong analytical skills, but the Master Data Analyst emphasizes data governance and integrity, often working closely with IT and data management teams.

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What job categories do people searching Master Data Analyst jobs in Colorado look for? The top searched job categories for Master Data Analyst jobs in Colorado are:
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What are popular job titles related to Master Data Analyst jobs in CO? For Master Data Analyst jobs in CO, the most frequently searched job titles are:
Master Data Analyst jobs near you
Infographic showing various Master Data Analyst job openings in Colorado as of July 2026, with employment types broken down into 49% Full Time, 10% Part Time, and 41% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $96,999 per year, or $46.6 per hour.
Senior Manager, Data Management

Senior Manager, Data Management

Ball

Westminster, CO • On-site

Full-time

Re-posted 8 days ago

Ball rating

8.0

Company rating: 8.0 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

Job description

At Ball, integrity and trust are the foundation of who we are. Guided by our core values-"We Care. We Work. We Win."-we create a culture where every voice matters and every idea drives progress.
Together with our global employees, customers, and partners, we're turning bold sustainability goals into reality and shaping a future we can all be proud of.
Create a new future. Apply Today.
Primary Purpose of this Position:
The Senior Manager, Data Management leads the enterprise Data Management function encompassing Master Data Management (MDM), Data Quality, and Data Governance operations. This role is the enterprise accountability layer for data trust - owning the stewardship model, governance controls, data quality standards, and data security policy design that ensure enterprise data is accurate, defined, classified, and reliably governed.
Essential Responsible Areas:
  • Data Governance COE:
    • Define and operate the enterprise data stewardship and ownership model - ensuring every critical data domain has a named business owner and active steward
    • Maintain the business glossary, enterprise data definitions, and ownership registry as living, governed artifacts - not static documentation
    • Run governance forums, decision rights frameworks, and escalation paths - resolving data definition disputes, ownership conflicts, and cross-domain data issues
    • Own data classification taxonomy and access policy design - defining RBAC policy tiers aligned to data sensitivity and regulatory requirements (policy design only; technical implementation owned by Data Platforms)
    • Own business metadata completeness and definition quality in the enterprise catalog (Microsoft Purview / Unity Catalog), ensuring Gold-layer assets are documented to enterprise standards
    • Serve as the policy interface to enterprise InfoSec for compliance validation, audit readiness, and regulatory data controls - operating as the data-side partner in incident response and access reviews
  • Master Data Operations:
    • Oversee master and reference data workflows across SAP S/4HANA and JD Edwards - governing the creation, change, and maintenance processes for Customer, Product, Supplier, Site, and Cost Center master data
    • Accountable for accuracy and timeliness of master data - owning MDM SLAs as measurable commitments, not targets
    • Own preventive controls at data creation points - ensuring governance rules are embedded in the data request and approval workflow before bad data enters the system
    • Drive reduction of downstream rework caused by MDM defects - quantifying the operational and financial impact of master data failures and reporting improvement to the CDO and business leaders
    • Manage MDM release cycles, change control, and SLAs - coordinating MDM updates across SAP and JDE in alignment with ERP release schedules and Data Architecture standards
  • Data Quality:
    • Define and own enterprise data quality rules and acceptance criteria - establishing the quality standards that analytics products and downstream systems must meet before data is certified for use
    • Produce enterprise DQ scorecards and trend reporting - publishing domain-level quality scores, issue aging, and improvement trajectories to the CDO and business data owners on a recurring cadence
    • Operate systemic escalation for recurring quality issues - routing persistent DQ failures to data owners, engineering teams, or MDM operations with clear accountability and resolution timelines
    • Accountable for measurable improvement in critical data domains - quality improvement targets are defined at the start of each year and tracked as a performance commitment

What we are looking for:
  • Bachelor's degree required in Information Systems, Business Analytics, Computer Science, Business Administration, or related field preferred.
  • Master's degree in a quantitative or information management discipline preferred.
  • 8+ years in data management, data governance, or MDM roles within large enterprise environments
  • 3+ years leading teams - direct or matrixed - with accountability for governance, quality, or MDM outcomes
  • Experience operating data governance frameworks at enterprise scale: stewardship models, ownership registries, governance forums, and escalation processes
  • Hands-on experience with MDM platforms and ERP master data processes - SAP S/4HANA strongly preferred; JD Edwards a differentiator
  • Familiarity with data quality tooling, scorecard development, and DQ rule design across critical data domains
  • Experience defining data classification frameworks and access policy design (RBAC policy, not technical implementation)
  • Strong stakeholder management across business and IT - able to drive accountability without direct authority
  • Manufacturing or industrial sector experience - familiarity with Customer, Product, Supplier, and Site master data complexity
  • Experience with Unity Catalog, Microsoft Purview, or equivalent metadata and catalog platforms
  • DMBOK or CDMP certification - signals structured data management methodology
  • Experience supporting Finance, Supply Chain, or Commercial data domains at an enterprise level
  • Background operating in a product-based or federated data operating model - able to work within a CDO org with defined role boundaries

Required Knowledge Areas:
  • Policy-Layer Leadership - Operates effectively at the governance and standards layer without owning technical enforcement; understands where their authority ends and platform ownership begins
  • Accountability Architecture - Skilled at building accountability frameworks and stewardship models that drive behavior through ownership and incentive, not bureaucracy
  • Governance Facilitation - Effective at running governance forums, decision rights processes, and escalation paths that resolve disputes and produce durable decisions
  • Executive Communication - Translates data governance concepts, quality metrics, and policy decisions into business value language for CIO, CFO, and functional leader audiences
  • Structural Ambiguity Tolerance - Comfortable establishing governance structure in maturing organizations; can operate without perfect tooling or complete data inventories while building toward the target state

Compensation & Benefits:
  • Expected Hiring Salary Range: $115,000 - $164,300 (Salary to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.)
  • This role will be eligible to participate in the annual incentive compensation plan.
  • Please visit our "Total Rewards" page to learn more about Ball's comprehensive benefits structure.
  • The preferred location for this role is our Westminster, CO campus; but we will consider a remote candidate, dependent on experience, qualifications and willingness to engage in regular travel to the Colorado campus. Hybrid On-Site Work Environment: If based in Colorado, this position requires regular in-person engagement by working on-site for three (3) or more days per work week (with core collaboration days of Tuesday, Wednesday and Thursday). Travel and local commute between Ball locations and other possible non-Ball locations may be required.

When submitting your application to Ball, we encourage you to emphasize your skills, experience, and qualifications that align with the role.
Ball Corporation is proud to be an Equal Opportunity Employer. We actively encourage applications from everybody. All qualified job applicants will receive consideration without regard to race, color, religion, creed, national origin, aboriginality, genetic information, ancestry, marital status, sex, sexual orientation, gender identity or expression, physical or mental disability, pregnancy, veteran status, age, political affiliation or any other non-merit characteristic.
Please note the advertised job title might vary from the job title on the contract due to local job title structure and global HR systems.
  • Under Colorado, California, Connecticut, Minnesota, and Pennsylvania law, you have the right to exclude or redact age-related details-such as your date of birth, school attendance dates, or graduation dates-from your resume, cover letter, CV, or other supporting documents (e.g., transcripts, certificates).
  • Legal authorization to work in the U.S. We will not sponsor individuals for employment visa, now or in the future, for this job opening.

* This position will be posted internally for a minimum of 5 days and will remain open until filled or adjusted based on the volume of applicants.
No agencies please.
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